CN110618105A - Transformer oil leakage detection method based on terahertz time-domain spectroscopy technology - Google Patents
Transformer oil leakage detection method based on terahertz time-domain spectroscopy technology Download PDFInfo
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- CN110618105A CN110618105A CN201911060644.9A CN201911060644A CN110618105A CN 110618105 A CN110618105 A CN 110618105A CN 201911060644 A CN201911060644 A CN 201911060644A CN 110618105 A CN110618105 A CN 110618105A
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- 238000001328 terahertz time-domain spectroscopy Methods 0.000 title claims abstract description 19
- 238000001514 detection method Methods 0.000 title claims abstract description 18
- 238000005516 engineering process Methods 0.000 title claims abstract description 18
- 238000010521 absorption reaction Methods 0.000 claims abstract description 100
- 239000000523 sample Substances 0.000 claims abstract description 57
- 238000001228 spectrum Methods 0.000 claims abstract description 56
- 230000002159 abnormal effect Effects 0.000 claims abstract description 23
- 238000009825 accumulation Methods 0.000 claims abstract description 22
- 239000013074 reference sample Substances 0.000 claims abstract description 5
- 238000004140 cleaning Methods 0.000 claims description 11
- 238000005070 sampling Methods 0.000 claims description 3
- 239000007779 soft material Substances 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 10
- 238000005259 measurement Methods 0.000 description 5
- 239000000126 substance Substances 0.000 description 5
- 239000006185 dispersion Substances 0.000 description 4
- 239000000428 dust Substances 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 150000001335 aliphatic alkanes Chemical class 0.000 description 1
- -1 alkane Chemical class 0.000 description 1
- 125000003118 aryl group Chemical group 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000003889 chemical engineering Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 231100001261 hazardous Toxicity 0.000 description 1
- 238000007654 immersion Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 229930195734 saturated hydrocarbon Natural products 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 229930195735 unsaturated hydrocarbon Natural products 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3581—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using far infrared light; using Terahertz radiation
- G01N21/3586—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using far infrared light; using Terahertz radiation by Terahertz time domain spectroscopy [THz-TDS]
Abstract
The application discloses a transformer oil leakage detection method based on a terahertz time-domain spectroscopy technology, which comprises the following steps: and establishing a standard database, measuring terahertz time-domain spectrums of the unused oil absorption test paper and the oil absorption test paper coated with the transformer oil, and establishing a spectrum comparison database of a reference sample. Obtaining a sample spectrum: taking an unused oil absorption test paper as a sample oil absorption test paper, pasting the sample oil absorption test paper on the surface of a part to be detected, keeping the surface of the test paper in full contact with the part to be detected, and measuring the terahertz time-domain spectrum of the sample oil absorption test paper. And judging, namely comparing the characteristic absorption peak of the terahertz time-domain spectrum of the sample oil absorption paper with the standard database, and judging whether the abnormal dirt accumulation part of the transformer has oil gas leakage or not. The method for detecting the oil leakage of the transformer can realize accurate and effective oil gas leakage detection on the abnormal dirt accumulation part of the oil-immersed transformer by adopting the terahertz time-domain spectroscopy technology.
Description
Technical Field
The application relates to the technical field of transformers, in particular to a transformer oil leakage detection method based on a terahertz time-domain spectroscopy technology.
Background
The immersion type transformer has the advantages of low manufacturing cost, high overload capacity, high environmental adaptability and the like, is generally applied to the fields of metallurgy, machinery, chemical engineering, power transmission and transformation and the like, and is the transformer with the widest application range at present. In the actual operation process, the oil-immersed transformer can have oil leakage or oil dripping phenomena with different degrees due to the influence of multiple factors such as working environment, load state, later maintenance and the like.
Leakage of transformer oil is more hazardous than leakage of other equipment media. On one hand, the main components of the transformer oil are compounds such as alkane, naphthenic saturated hydrocarbon, aromatic unsaturated hydrocarbon and the like, and leakage oil not only wastes a large amount of insulating oil, but also can cause fire and explosion accidents to cause immeasurable economic loss. On the other hand, the oil leakage can cause the oil quantity in the transformer to be reduced, and further causes the abnormal temperature rise of the transformer, so that the deterioration speed of the transformer is accelerated, and the service life of the transformer is greatly shortened
Depending on the magnitude of the leakage, the leakage of transformer oil can be classified into light leakage and heavy leakage. The heavy leakage is characterized in that residual oil marks or oil drops appear at the leakage position, the leakage can form macroscopic stains on the surface of the transformer to pollute the appearance image of the transformer, and inspection personnel can determine the leakage position and overhaul and maintain the leakage position by a macroscopic observation method in the daily maintenance process.
Slight leakage forms extremely thin oil films in a small range of the leakage position, the oil films have certain adsorption effect on dust, and generally, more dirt is accumulated on the leakage position than other parts. However, it is difficult to distinguish whether the fouling phenomenon is related to oil gas leakage only by visual observation, which affects the accuracy of the judgment of the transformer leakage condition.
Disclosure of Invention
The application provides a transformer oil leakage detection method based on a terahertz time-domain spectroscopy technology, and aims to solve the technical problem that slight oil-gas leakage of a transformer is difficult to accurately judge.
In order to solve the technical problem, the embodiment of the application discloses the following technical scheme:
the embodiment of the application discloses a transformer oil leakage detection method based on a terahertz time-domain spectroscopy technology, which comprises the following steps: step (1): establishing a standard database, measuring terahertz time-domain spectrums of unused oil absorption test paper and oil absorption test paper coated with transformer oil, and establishing a spectrum comparison database of a reference sample;
step (2): obtaining a sample spectrum: taking an unused oil absorption test paper as a sample oil absorption test paper, attaching the sample oil absorption test paper to the surface of a part to be detected, keeping the surface of the test paper in full contact with the part to be detected, and measuring a terahertz time-domain spectrum of the sample oil absorption test paper;
and (3): and judging, namely comparing the characteristic absorption peak of the terahertz time-domain spectrum of the sample oil absorption paper with the standard database, and judging whether the abnormal dirt accumulation part of the transformer has oil gas leakage or not.
Optionally, the step (2) further includes:
cleaning the sampling part, namely cleaning the accumulated dirt of the part to be detected by using a physical means to expose the surface of the part to be detected;
collecting a sample, taking an unused oil absorption test paper, and attaching the test paper to the surface of the cleaned part to be detected so as to ensure that the surface of the test paper is in full contact with the part to be detected.
Optionally, the physical means includes: the dirt cleaning tool made of soft materials is adopted, dirt is cleaned back and forth along a fixed direction on the surface of the dirt until the cleaned area is enough to be pasted with the oil absorption test paper, and the cleaning depth can ensure that the part to be detected is exposed.
Optionally, the standard database includes a test paper spectrum and an oil sample spectrum, and the test paper spectrum is a characteristic absorption peak of a terahertz time-domain spectrum of an unused oil absorption test paper and is recorded as a reference group 1; the oil sample spectrum is a characteristic absorption peak of a terahertz time-domain spectrum of the oil absorption test paper coated with the transformer oil and is recorded as a reference group 2.
Optionally, judging whether the abnormal accumulated dirt position of the transformer has oil gas leakage or not includes:
if the characteristic absorption peak of the sample oil absorption paper is consistent with the absorption peak of the reference group 1, judging that no oil gas leakage occurs at the abnormal dirt accumulation part;
if the characteristic absorption peak of the sample oil absorption paper is consistent with the absorption peak of the reference group 2, judging that oil gas leakage exists at the abnormal dirt accumulation part;
and if the characteristic absorption peak of the sample oil absorption paper is consistent with the non-absorption peaks of the reference group 1 and the reference group 2, judging that other faults exist at the abnormal dirt accumulation part.
Compared with the prior art, the beneficial effect of this application is:
the application provides a transformer oil leakage detection method based on a terahertz time-domain spectroscopy technology, which comprises the following steps: step (1): and establishing a standard database, measuring terahertz time-domain spectrums of the unused oil absorption test paper and the oil absorption test paper coated with the transformer oil, and establishing a spectrum comparison database of a reference sample. Step (2): obtaining a sample spectrum: taking an unused oil absorption test paper as a sample oil absorption test paper, pasting the sample oil absorption test paper on the surface of a part to be detected, keeping the surface of the test paper in full contact with the part to be detected, and measuring the terahertz time-domain spectrum of the sample oil absorption test paper. And (3): and judging, namely comparing the characteristic absorption peak of the terahertz time-domain spectrum of the sample oil absorption paper with the standard database, and judging whether the abnormal dirt accumulation part of the transformer has oil gas leakage or not. The basic method of the terahertz time-domain spectroscopy technology is to obtain the absorption and dispersion spectrum of a sample in a terahertz waveband by measuring the terahertz pulse time-domain waveform before and after the terahertz pulse time-domain waveform passes through the sample to be measured. Due to vibration and rotation transition of dipoles, many organic molecules have strong absorption and dispersion in a terahertz frequency range, terahertz spectra of different substances often show different characteristics, unique identification information is provided for conformation of the molecules, and substance component identification can be realized through the terahertz spectra. Therefore, accurate and effective oil gas leakage detection can be realized on the abnormal dirt accumulation part of the oil-immersed transformer by adopting the terahertz time-domain spectroscopy technology.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for detecting transformer oil leakage based on a terahertz time-domain spectroscopy technology provided in an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1, an embodiment of the application discloses a method for detecting transformer oil leakage based on a terahertz time-domain spectroscopy technology, which includes:
step (1): and establishing a standard database, measuring terahertz time-domain spectrums of the unused oil absorption test paper and the oil absorption test paper coated with the transformer oil, and establishing a spectrum comparison database of a reference sample.
In order to ensure the accuracy of the measurement result, when the terahertz time-domain spectroscopy of each sample to be measured is measured by using the terahertz time-domain spectroscopy system, the measurement is carried out in an environment with the ambient environment of 23-27 ℃ and the air humidity of less than 5%, so that the influence of temperature and water vapor on the measurement result can be fully avoided.
The standard database comprises a test paper spectrum and an oil sample spectrum, wherein the test paper spectrum is a terahertz time-domain spectrum of unused oil absorption test paper and is marked as a reference group 1; the oil sample spectrum is a terahertz time-domain spectrum of the oil absorption test paper coated with the transformer oil and is recorded as a reference group 2.
Step (2): obtaining a sample spectrum: taking an unused oil absorption test paper as a sample oil absorption test paper, pasting the sample oil absorption test paper on the surface of a part to be detected, keeping the surface of the test paper in full contact with the part to be detected, and measuring the terahertz time-domain spectrum of the sample oil absorption test paper.
Because a slight leakage part can form an extremely thin oil film in a very small range, certain dust is easily adsorbed on the surface of the oil film, in order to ensure the sampling accuracy of the sample oil absorption test paper, the sample oil absorption test paper is attached to the surface of a part to be detected, the sampled part needs to be cleaned, and the accumulated dirt of the part to be detected is cleaned by a physical means, so that the surface of the part to be detected is exposed, and the subsequent information acquisition is facilitated.
The physical means includes: the dirt cleaning tool made of soft materials is adopted, dirt is cleaned back and forth along a fixed direction on the surface of the dirt until the cleaned area is enough to be pasted with the oil absorption test paper, and the cleaning depth can ensure that the part to be detected is exposed. Wherein the material of the cleaning tool is soft, such as a brush.
In order to ensure the accuracy of the measurement result, the sample oil absorption paper selected in the step (2) is the same type as the unused oil absorption test paper in the step (1) and the oil absorption test paper coated with the transformer oil. For convenience of operation, the sample oil absorbing paper can be cut into 30mm by 60 mm.
In order to ensure that the sample oil absorption paper is in full contact with the surface of the part to be measured and the measurement accuracy is guaranteed, the test paper is attached to the cleaned surface of the part to be measured, the surface of the test paper is in full contact with the part to be measured, and the time is controlled to be 1-2 minutes.
And (3): and judging, namely comparing the characteristic absorption peak of the terahertz time-domain spectrum of the sample oil absorption paper with the standard database, and judging whether the abnormal dirt accumulation part of the transformer has oil gas leakage or not. The method specifically comprises the following steps:
comparing the terahertz time-domain spectrum of the sample oil absorption paper with the terahertz time-domain spectrum (reference group 1) of the unused oil absorption test paper in a standard database and the terahertz time-domain spectrum (reference group 2) of the oil absorption test paper coated with the transformer oil, searching a characteristic absorption peak from the time-domain spectrum of the sample, analyzing whether the detected oil absorption test paper sample contains the transformer oil according to the amplitude and the time position of the characteristic absorption peak, and taking the detection result as the basis for judging whether the oil gas leakage occurs at the abnormal dirt accumulation part of the transformer. If the characteristic absorption peak of the sample oil absorption paper is consistent with the absorption peak of the reference group 1, judging that the abnormal dirt accumulation part is irrelevant to oil gas leakage, and judging that the oil gas leakage does not occur at the abnormal dirt accumulation part; if the characteristic absorption peak of the sample oil absorption paper is consistent with the absorption peak of the reference group 2, judging that oil gas leakage exists at the abnormal dirt accumulation part; and if the characteristic absorption peak of the sample oil absorption paper is not consistent with the absorption peaks of the reference group 1 and the reference group 2, judging that other faults exist at the abnormal dirt accumulation part.
The terahertz time-domain spectroscopy (THz-TDS) technology is a leading-edge technology newly developed in recent years, has strong spectral resolution capability and good perspective and safety, and has wide application value in the aspect of material detection. As one of the most important technologies in the field of terahertz radiation application, a basic method of the terahertz time-domain spectroscopy technology is to obtain absorption and dispersion spectra of a sample in a terahertz waveband by measuring terahertz pulse time-domain waveforms before and after passing through the sample to be measured. Due to vibration and rotation transition of dipoles, many organic molecules have strong absorption and dispersion in a terahertz frequency range, terahertz spectra of different substances often show different characteristics, unique identification information is provided for conformation of the molecules, and substance component identification can be realized through the terahertz spectra. Therefore, accurate and effective oil gas leakage detection can be realized on the abnormal dirt accumulation part of the oil-immersed transformer by adopting the terahertz time-domain spectroscopy technology. According to the method, the oil absorption paper is used for adsorbing substances at the dirt accumulation part, the terahertz time-domain spectrum of the sample oil absorption paper is collected by the terahertz time-domain spectrum system, the characteristic absorption peak is searched from the time-domain spectrum of the sample, whether the detected oil absorption test paper sample contains transformer oil or not is analyzed according to the amplitude and the time position of the characteristic absorption peak, and the detection result is used as the basis for judging whether oil gas leakage occurs at the abnormal dirt accumulation part of the transformer or not.
Since the above embodiments are all described by referring to and combining with other embodiments, the same portions are provided between different embodiments, and the same and similar portions between the various embodiments in this specification may be referred to each other. And will not be described in detail herein.
It should be noted that in this specification, terms such as "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a circuit structure, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such circuit structure, article, or apparatus. Without further limitation, the presence of an element identified by the phrase "comprising an … …" does not exclude the presence of other like elements in a circuit structure, article or device comprising the element.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
The above-described embodiments of the present application do not limit the scope of the present application.
Claims (5)
1. A transformer oil leakage detection method based on a terahertz time-domain spectroscopy technology is characterized by comprising the following steps:
step (1): establishing a standard database, measuring terahertz time-domain spectrums of unused oil absorption test paper and oil absorption test paper coated with transformer oil, and establishing a spectrum comparison database of a reference sample;
step (2): obtaining a sample spectrum: taking an unused oil absorption test paper as a sample oil absorption test paper, attaching the sample oil absorption test paper to the surface of a part to be measured, and measuring a terahertz time-domain spectrum of the sample oil absorption test paper;
and (3): and judging, namely comparing the characteristic absorption peak of the terahertz time-domain spectrum of the sample oil absorption paper with the standard database, and judging whether the abnormal dirt accumulation part of the transformer has oil gas leakage or not.
2. The transformer oil leakage detection method of claim 1, wherein the step (2) further comprises:
and (4) cleaning the sampling part, namely cleaning the accumulated dirt of the part to be detected by using a physical means to expose the surface of the part to be detected.
3. The transformer oil leakage detection method of claim 2, wherein the physical means comprises: the dirt cleaning tool made of soft materials is adopted, dirt is cleaned back and forth along a fixed direction on the surface of the dirt until the cleaned area is enough to be pasted with the oil absorption test paper, and the cleaning depth can ensure that the part to be detected is exposed.
4. The transformer oil leakage detection method according to claim 1, wherein the standard database comprises a test paper spectrum and an oil sample spectrum, the test paper spectrum is a terahertz time-domain spectrum of an unused oil absorption test paper and is recorded as reference group 1; the oil sample spectrum is a terahertz time-domain spectrum of the oil absorption test paper coated with the transformer oil and is recorded as a reference group 2.
5. The transformer oil leakage detection method according to claim 4, wherein the judging whether oil gas leakage occurs at the abnormal dirt accumulation part of the transformer comprises:
if the characteristic absorption peak of the sample oil absorption paper is consistent with the absorption peak of the reference group 1, judging that the abnormal dirt accumulation part is irrelevant to oil gas leakage;
if the characteristic absorption peak of the sample oil absorption paper is consistent with the absorption peak of the reference group 2, judging that oil gas leakage exists at the abnormal dirt accumulation part;
and if the characteristic absorption peak of the sample oil absorption paper is not consistent with the absorption peaks of the reference group 1 and the reference group 2, judging that other faults exist at the abnormal dirt accumulation part.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111351764A (en) * | 2020-02-27 | 2020-06-30 | 云南电网有限责任公司电力科学研究院 | Material detection device and detection method based on terahertz technology |
CN112924407A (en) * | 2021-03-26 | 2021-06-08 | 云南电网有限责任公司电力科学研究院 | Method for detecting trace moisture content of sulfur hexafluoride gas |
CN114441100A (en) * | 2021-12-31 | 2022-05-06 | 航天科工防御技术研究试验中心 | Liquid crystal wave plate sealing performance detection method and device, electronic equipment and storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102749297A (en) * | 2012-07-10 | 2012-10-24 | 中国计量学院 | Pesticide identification method based on terahertz theoretical simulation spectrum |
CN103278454A (en) * | 2013-05-02 | 2013-09-04 | 中国石油大学(北京) | Method for detecting sulfur content of product oil by utilizing terahertz technology |
CN105277510A (en) * | 2015-08-26 | 2016-01-27 | 湖州旭龙生物化学有限公司 | Propiconazole discriminating method based on Terahertz theory for simulation of spectrum database |
CN107515202A (en) * | 2017-08-17 | 2017-12-26 | 清华大学 | Terahertz light spectral analysis method, system and equipment |
CN108226089A (en) * | 2017-12-28 | 2018-06-29 | 雄安华讯方舟科技有限公司 | Terahertz detection method |
CN112666116A (en) * | 2021-01-07 | 2021-04-16 | 云南电网有限责任公司电力科学研究院 | Terahertz-based power transformer insulation paper aging detection device and method |
-
2019
- 2019-11-01 CN CN201911060644.9A patent/CN110618105A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102749297A (en) * | 2012-07-10 | 2012-10-24 | 中国计量学院 | Pesticide identification method based on terahertz theoretical simulation spectrum |
CN103278454A (en) * | 2013-05-02 | 2013-09-04 | 中国石油大学(北京) | Method for detecting sulfur content of product oil by utilizing terahertz technology |
CN105277510A (en) * | 2015-08-26 | 2016-01-27 | 湖州旭龙生物化学有限公司 | Propiconazole discriminating method based on Terahertz theory for simulation of spectrum database |
CN107515202A (en) * | 2017-08-17 | 2017-12-26 | 清华大学 | Terahertz light spectral analysis method, system and equipment |
CN108226089A (en) * | 2017-12-28 | 2018-06-29 | 雄安华讯方舟科技有限公司 | Terahertz detection method |
CN112666116A (en) * | 2021-01-07 | 2021-04-16 | 云南电网有限责任公司电力科学研究院 | Terahertz-based power transformer insulation paper aging detection device and method |
Non-Patent Citations (3)
Title |
---|
吴勤 等: "《太赫兹技术发展与应用》", 31 August 2018, 中国宇航出版社 * |
宝日玛 等: "汽油的太赫兹时域光谱特性研究", 《中国科学:物理学 力学 天文学》 * |
田璐 等: "太赫兹技术在石油领域的应用进展", 《现代科学仪器》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111351764A (en) * | 2020-02-27 | 2020-06-30 | 云南电网有限责任公司电力科学研究院 | Material detection device and detection method based on terahertz technology |
CN111351764B (en) * | 2020-02-27 | 2024-01-23 | 云南电网有限责任公司电力科学研究院 | Material detection device and method based on terahertz technology |
CN112924407A (en) * | 2021-03-26 | 2021-06-08 | 云南电网有限责任公司电力科学研究院 | Method for detecting trace moisture content of sulfur hexafluoride gas |
CN114441100A (en) * | 2021-12-31 | 2022-05-06 | 航天科工防御技术研究试验中心 | Liquid crystal wave plate sealing performance detection method and device, electronic equipment and storage medium |
CN114441100B (en) * | 2021-12-31 | 2023-08-22 | 航天科工防御技术研究试验中心 | Liquid crystal wave plate tightness detection method and device, electronic equipment and storage medium |
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